interos.ai @interos_ai

The U.S. recently announced Section 301 forced labor tariffs for 60 countries—but according to the data, the rates may not match the labor reality. Analysis by interos.ai found that three of the top ten countries with the highest prevalence of unethical labor practices (Mexico, Malaysia, and Bangladesh) were slapped with the 10% tariff rate. Meanwhile, countries such as Switzerland and Japan, with almost no known forced labor, face a 12.5% tariff rate. In a recent conversation with @Inc, our CEO @KrantzTed breaks down why the numbers don’t add up and how these tariffs may be targeting geopolitical tensions rather than just forced labor. Read the full article from Jennifer Conrad here: inc.com/jennifer-conra… #SupplyChains #ForcedLabor #Tariffs

Check out the full Bloomberg article: bloomberg.com/news/articles/…

According to @Bloomberg, 34.9% of full-time US workers did at least part of their job from home last year, up from 33.4% in 2024. Despite years of return-to-office mandates, remote work continues to grow. The reason is simple: people want flexibility. At interos.ai, we foster an outcome-driven culture where people can do their best work, no matter where they are. We're a remote-first company revolutionizing how organizations proactively manage supply chain risk, with AI at the center of everything we do. We trust our people with the freedom to solve hard problems wherever they work best. The results speak for themselves. If this sounds like the kind of environment where you'd thrive, we're hiring: interos.ai/careers?utm_so…

Every major tech company is racing to build AI infrastructure. Fewer are asking where that infrastructure sits, and what happens when summer hits. Flooding. Extreme heat. Wildfires. The data centers powering the AI race, and the suppliers behind them, are directly in the path of peak-season disruption. That's not a future problem. That's a summer problem. According to interos.ai Predictions Report data: → During peak summer months (June–August), 20% of global data centers face high risk of catastrophic events. → 107 data centers globally are projected to reach maximum climate risk within the next 15 years. → 18% are on track to fall into extreme drought risk. The AI race is accelerating demand for physical infrastructure faster than most organizations can assess the climate exposure attached to it. New facilities are being approved, built, and connected to supply chains with limited visibility into the catastrophic risks surrounding them. The organizations that come out ahead aren't reacting to weather events after the fact. They're mapping physical exposure across their supplier networks and acting before operations are affected. Visibility into catastrophic risk starts before the disruption does. 👉 interos.ai/solutions/cata… #SupplyChain #AI #RiskIntel

Most S&P 500 companies audit just 1 of 6 tiers in their supply chain. That means sub-tier layers deep within your supplier network are invisible to you right now. That exposure can lead to production halts, regulatory action, and cyber attacks. Eliminate blind spots and stay ahead of competition with proactive supply chain risk mitigation across six risk factors: Cyber, Finance, ESG, Geopolitical, Catastrophic, and Restrictions. 🔗 interos.ai/solutions/cont… #RiskIntel #SupplyChain #TPRM #SupplyChainVisibility

Forced labor risks don't stop at your direct suppliers. Across tiers 1 through 3, over 10.7 million companies may be exposed to unethical labor due to the presence of high-risk entities in their supply chains, according to interos.ai data. That exposure is buried in the sub-tiers most organizations have never mapped, let alone monitored. Supplier self-attestation won't surface it. Manual audits won't catch it at scale. The organizations getting ahead of this aren't reacting to violations. They're building continuous visibility into every tier before it becomes a compliance failure. Know what's in your supply chain. 👇 interos.ai/request-contac… #SupplyChain #RiskIntel #UnethicalLabor

90% of F1000 companies can't see their sub-tier suppliers. The average enterprise faces four major supply chain disruptions a year. 43% of CFOs cite supply chain disruption as their top cost and margin driver. Reactive isn't a strategy. It's a liability. The geopolitical landscape has fundamentally intensified the liability of supply chain risk. Tariff volatility, trade restrictions, and economic uncertainty have compressed the window to respond and raised the stakes for every blind spot in your supplier network. interos.ai built 𝘪Q to change that. Through orchestration of first party and market data, 𝘪Q quantifies sub-tier risk in dollars, surfaces alternative suppliers, and gives your CFO a full picture of exposure — before disruption hits. The industry's first fully productized predictive analytics platform for supply chain risk intelligence, 𝘪Q gives C-suite leaders three products they don't have today: 🔹 𝘪reputation detects emerging supplier signals across financial distress, foreign influence, and regulatory exposure, ranked by severity in real time. 🔹 𝘪tariffs maps tariff exposure across your full supplier network and translates it into a concrete dollar figure your whole organization can act on. 🔹 𝘪tracing links multi-tier supplier relationships to specific products and components, so when disruption hits, you know exactly what's at risk and where to move first. Don't wait for disruption to find you. Learn more: interos.ai/blog/predictiv… #SupplyChainRisk #SupplyChainResilience #RiskIntelligence #Procurement #TPRM #Geopolitics

Cyber threats move in seconds. Most organizations find out in days. That gap is where supply chain disruption lives. A breach hits a supplier in your extended network and by the time it surfaces through your existing processes, the impact is already spreading across your operations. The organizations absorbing the most damage are the ones still waiting to be told. We rebuilt our Cyber Risk model to close that gap: 🔹 2x company coverage for more dynamic, real-time cyber risk data across your supply chain 🔹 14 subfactors consolidated into 6 clearer risk categories, with no loss of underlying coverage 🔹 200+ contextual issues and mitigation recommendations that explain what's driving scores, so your team knows exactly what to do Score penalties that fire in real time the moment a cyber event occurs, giving you a faster, more accurate risk signal Knowing sooner changes everything. Learn more: interos.ai/solutions/cybe… #SupplyChain #RiskIntel #Cyber

Zero days break more than just software. They break trust across all vendors, partners, and suppliers connected to their system. Our CPTO Yardley Pohl (@yipstas) recently shared her thoughts for @ForbesTechCncl about why mapping third-party dependencies is no longer optional before a crisis hits. One unpatched vulnerability can cascade across thousands of interconnected suppliers, and defending your perimeter isn’t enough. Read the full post here for Yardley’s take: forbes.com/councils/forbe… #ZeroDay #RiskManagement #Software

Over 6.7 million entities are operating in countries with ongoing conflict right now. Some of them are your suppliers. Some of them are your suppliers' suppliers and somewhere in that number is a single point of failure your organization has never mapped. Most risk teams won't find it until production slows, a shipment goes missing, or a customer escalation forces the investigation. At that point, the disruption has already cost you. If you can't see where your supply chain intersects with disruption today, learn how interos.ai can help: interos.ai/our-software #SupplyChain #Geopolitical #RiskIntel

interos.ai is proud to be named Supply Chain Visibility Company of the Year by the @TopTechAwards! In an era where disruption is the norm, visibility is the difference between anticipating a supplier failure and explaining one to your board. interos.ai maps 250M+ entities and 11B+ supplier relationships across six risk domains, so your team sees sub-tier risks before they surface, not after they've hit your operations. Thank you to the independent panel of industry experts who recognized this work, and to the supply chain and risk leaders who trust interos.ai every day. 🔗 supplytechbreakthrough.com/2026-winners/ #SupplyChain #SupplyChainVisibility

The Pentagon just flagged 188 companies, including Baidu, Alibaba, and BYD, as linked to the Chinese military. Paired with new Section 301 tariffs and a trade truce expiring in November, the signal is clear: supply chain warfare is accelerating. The real question for risk and procurement leaders: Do you know where these 188 companies sit in your extended supplier network? Andrea Little Limbago breaks down what's next ➡️ interos.ai/blog/section-1… #Geopolitics #SupplyChain

Every week another vendor promises AI agents that will run your operations end-to-end. Autonomous decisions. Zero human oversight. It's a compelling pitch, and it's also not where we are, in supply chain or anywhere else. Reliable AI doesn't get deployed. It gets earned. Suggestions that humans validate. Decisions that feed reinforcement learning. Predictive insights that build trust before they ever become autonomous signals. Rush that process and you don't get efficiency. You get confident-but-wrong embedded in your most critical decisions. At interos.ai, we're monitoring 250M+ entities and 11B+ supplier relationships across six risk domains. The technology isn't autonomous yet. The data discipline behind it is rigorous enough that it doesn't need to be. That's what AI in supply chain should look like right now. Read the full piece in @ILMagazine → inboundlogistics.com/articles/when-… #SupplyChain #AI #RiskIntel

Your supply chain risk platform is flagging threats. Your ERP knows everything about how your business runs. So why are you still reacting instead of acting? Because the two aren't talking to each other. When risk intelligence and operational data stay siloed, your team gets alerts without answers. You know something's wrong, but you don't know what to do about it first. As our CEO @KrantzTed shares in a recent conversation with @LogisticsMgmt, the gap isn't detection. It's prioritization. Most tools will tell you there's a problem. Very few will tell you which one to solve today. Blending ERP data with real-time market intelligence changes that. It turns a list of alerts into a clear action plan before disruption forces your hand. Read the full conversation with Bridget McCrea to learn how: mydigitalpublication.com/article/Supply…

A Super El Niño is developing. There's a 96% chance it persists through winter 2026–27. For every procurement team with exposure to Australia, India, Indonesia, Peru, or the US Gulf Coast, this is your countdown. The 1997–98 El Niño caused $36 billion in global damages. The 2015–16 event rewrote records. This one is developing impact that would have been moderate a decade ago but can now tip severe. The window to act is before the fires start, before the monsoon fails, before the ports close. Map your exposure. Build your buffers. Identify alternative sources now. Read Senior Computational Climate Scientist Nina Grant, Ph.D.'s full breakdown of the five high-risk geographies, the seasonal calendar, and what this means for supply chain risk management: interos.ai/blog/el-nino-i… #SupplyChainRisk #SupplyChainResilience #RiskIntelligence